Augmentus nets $11m to scale no-code robotics for manufacturing

Singapore-based robotics firm Augmentus has raised US$11 million in a series A+ funding round.

This funding will improve its autonomous robotic systems for surface finishing and welding, support regional expansion, and further research into adaptive AI-driven robotics for manufacturing.

The funding round was led by Woori VP, with contributions from new investor EDBI, as well as returning investors Sierra Ventures and Cocoon Capital.

Augmentus plans to use the capital to meet increasing demand and scale its operations across the Asia Pacific and North America.

Augmentus specializes in no-code robotics, integrating industrial 3D scanning, AI-driven path planning, and motion control.

These solutions aim to reduce programming time and facilitate the automation of tasks that traditionally require significant human oversight.

The company’s technology is currently deployed in over six countries, including Australia, Germany, and the United States.

🔗 Source: Augmentus

🧠 Food for thought

1️⃣ No-code robotics addresses the persistent programming bottleneck in manufacturing

Augmentus’ funding represents a growing recognition that programming complexity remains the primary barrier to robotics adoption, especially for specialized tasks like surface finishing and welding.

Their approach aligns with broader industry shifts toward no-code solutions, with 72% of companies expected to utilize AI in at least one business area by 2025 1.

This trend is particularly significant in manufacturing, where 50% of organizations now involve COOs and CEOs directly in low-code adoption decisions, recognizing it as a strategic priority rather than just a technical tool 2.

The focus on eliminating coding requirements addresses a fundamental challenge: while industrial robots have existed for decades, their programming complexity has restricted deployment to high-volume, low-mix environments where the programming cost can be amortized.

By reducing programming time by up to 90% as claimed in the article, no-code approaches can potentially unlock automation for the vast segment of manufacturing that deals with product variation and smaller batch sizes.